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Exploratory and multivariate data analysis /

With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the mos...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Jambu, Michel
Formato: Electrónico eBook
Idioma:Inglés
Francés
Publicado: Boston : Academic Press, �1991.
Colección:Statistical modeling and decision science.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques. Key Features * Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones * Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples * Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques.
Descripción Física:1 online resource (xiii, 474 pages) : illustrations
Bibliografía:Includes bibliographical references a (pages 465-468) and indexes.
ISBN:9780080923673
0080923674
1299536158
9781299536159
Acceso:Legal Deposit;